Journal
• Ce Gao; Kang Zhang; Weiwei Wang; Zhicheng Cao; Liaojun Pang; Eryun Liu; Heng Zhao, "Protected Face Templates Generation Based on Multiple Partial Walsh Transformations and Simhash," in IEEE Transactions on Information Forensics and Security, (SCI). doi: 10.1109/TIFS.2024.3369322.
• Z. Cao, N. A. Schmid, S. Cao, L. Pang. GMLM-CNN: A Hybrid Solution to SWIR-VIS Face Verification with Limited Imagery. Sensors. 2022, 22(23):9500. (SCI). https://doi.org/10.3390/s22239500
• Yuxing Li, Liaojun Pang, Heng Zhao, Zhicheng Cao, Eryun Liu, Jie Tian. Indexing-Min-Max Hashing: Relaxing the Security-Performance Tradeoff for Cancelable Fingerprint Templates. IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol 52(10), pp6314-6325，2022 (SCI).
• Z. Cao, X. Cen, H. Zhao, L. Pang. Balancing Heterogeneous Image Quality for Improved Cross-Spectral Face Recognition. Sensors. 2021; 21(7):2322. (SCI). https://doi.org/10.3390/s21072322
• Song Sun, Zhicheng Cao#, Dingying Liao, Ruichan Lv. A Magnified Adaptive Feature Pyramid Network for automatic microaneurysms detection. Computers in Biology and Medicine. vol 139,pp. 105000, 2021. (SCI). doi.org/10.1016/j.compbiomed.2021.105000
• Yuxing Li, Heng Zhao, Zhicheng Cao, Eryun Liu and Liaojun Pang. Compact and Cancelable Fingerprint Binary Codes Generation via One Permutation Hashing. IEEE Sigal Processing Letters. vol. 28, pp 738-742, 2021. (SCI). https://ieeexplore.ieee.org/document/9398536
• Chen, Jiong; Guo, Fei; Cao, Zhicheng; Liu, Eryun; Zhao, Heng. ROSE: real one-stage effort to detect the fingerprint singular point based on multi-scale spatial attention. Signal, Image and Video Processing. 2021. (SCI)
• Yuxing Li, Heng Zhao, Zhicheng Cao, Eryun Liu, Liaojun Pang. Ordered and fixed-length bit-string fingerprint representation with minutia vicinity combined feature and spectral clustering. IET Image Processing ,14(12), 2020. (SCI) https://doi.org/10.1049/iet-ipr.2020.1025
• Zhicheng Cao, Xi Cen, Liaojun Pang, HyperFaceNet: A Hyperspectral Face Recognition Method Based on Deep Fusion. arXiv:2008.00498, 2020. https://arxiv.org/abs/2008.00498
• Chen, J.; Zhao, H.; Cao, Z.; Guo, F.; Pang, L. A Customized Semantic Segmentation Network for the Fingerprint Singular Point Detection. Applied Sciences, 2020, 10, 3868 (SCI). https://doi.org/10.3390/app10113868
• Min Jiang, Bingyi Cui, Yu-Feng Yu, Zhicheng Cao*, "DM-free curvelet based denoising for astronomical single pulse detection", IEEE Access, vol 7, pp107389-108399, 2019 (SCI). https://ieeexplore.ieee.org/document/8788523/
• W. Zhao, L. Pang, K. Xiao, H. Wang, Z. Cao and H. Zhao, “Palmprint recognition using a modified competitive code with distinctive extended neighborhood,” IET Computer Vision, 12(8), pp.1151-1162,2018 (SCI).
• J. Chen, H. Zhao, Z. Cao, W. Zhao and L. Pang, “Successive minutia-free mosaicking for small-sized fingerprint recognition,” IET Image Processing, 13(7), pp1146-1151,2018 (SCI).
•Z. Cao, N. A. Schmid and T. Bourlai, “Composite Multi-Lobe Descriptors for Cross-Spectral Recognition of Full and Partial Face,” Optical Engineering, 55(8), 083107 (2016) (SCI).
•M. Jiang, B. Cui, N. A. Schmid, M. A. McLaughlin and Z. Cao, “Wavelet Denoising of Radio observations of Rotating Radio Transients (RRATs): Improved Timing Parameters for Eight RRATs”, The Astrophysical Journal, 847(1), pp75(2017) (SCI).
•Z. Cao and N. A. Schmid, “Fusion of Operators for Heterogeneous Periocular Recognition,” Pattern Recognition Letters, 80p2, pp170-180 (2016) (SCI).
•Z. Cao and N. A. Schmid, “Recognition Performance of Cross-Spectral Periocular Biometrics and Partial Face at Short and Long Standoff Distance,” Open Transactions on Information Processing, 1(2), 20–32, 2014.
•Z. Cao and N. A. Schmid,“Novel Composite Operator for Cross-Spectral Face Recognition”, SPIE Newsroom Magazine, April 2015 (ISSN 1818-2259).
Conference
• Pu Zhao, Liaojun Pang, Shufen Cao, and Zhicheng Cao* "Deep learning-based patient in-position detection for acupuncture treatment", Proc. SPIE 12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, 128570R (13 March 2024); https://doi.org/10.1117/12.3023364 (EI).
• Zhicheng Cao, Guoli Qin, Heng Zhao, Natalia Schmid, Liaojun Pang; Infrared-Based Gender Recognition from Facial Images: A Comparative Study Using Deep Learing. The Second International Conference of Optical Imaging and Measurement, 2023. pp. 114-119, doi: 10.1109/ICOIM60566.2023.10491448. (EI). https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10491448
• Wenlong Li, Dongxu Che, Liaojun Pang, Shufen Cao, Zhicheng Cao*; A Feasibility Study on Infrared Imaging-Based Face Antispoofing, The Third International Conference on Electronic Information Engineering and Computer (EIECT)，2023, pp. 150-155, doi: 10.1109/EIECT60552.2023.10442953 (EI). https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10442953
• Z. Cao, W, Li., H. Zhao, and L. Pang, YoloMask: An Enhanced YOLO Model for Detection of Face Mask Wearing Normality, Irregularity and Spoofing, the 16th Chinese Conference on Biometric Recognition (CCBR2022), Lecture Notes in Computer Science, vol 13628. Springer，pp. 205--213，2022, (EI).
• Zhicheng Cao, Liyi Shi, Hua Ju, Li Yang, and Liaojun Pang, Improving Face Recognition by Pose-Aware Quality Assessment and Judgement, in Proc. SPIE Defense and Commercial Sensing, Pattern Recognition and Tracking XXXIII, 121010I, SPIE (2022), (EI).
• Zhicheng Cao, Yuchao Zhong, Lanxin Gaotang, Heng Zhao and Liaojun Pang, A successive approach to enhancement of infrared facial images, in Proc. SPIE Defense and Commercial Sensing, Infrared Technology and Applications XLVIII, pp121071Q, SPIE (2022), (EI).
• Z. Cao, Zhao, H., Cao, S., and Pang, L., “Face detection in the darkness using infrared imaging: a deep learning-based study," in Proc. of SPIE Optics + Photonics, 11843, 106 - 112, SPIE (2021), (EI).
• Z. Cao, Chen, X., Cao, S., and Pang, L., Improving nighttime periocular recognition performance by image superresolution," in Proc. of SPIE Optics + Photonics, 11843,113 – 12, SPIE (2021), (EI).
• Z. Cao, Y. Zhao, H. Zhao，W. Zhao, X. Xu and L. Pang, “Nighttime periocular recognition at long standoffs with deep learned features,” in Proc. SPIE Defense and Commercial Sensing , 2019, (EI).
• Z. Cao, Y. Zhao, H. Zhao, X. Xu and L. Pang, “Cross-Spectral Face Recognition with Image Quality Disparity Using Image Fusion,” in Proc. SPIE Defense and Commercial Sensing , 2019, (EI).
• L. Guo, H. Zhang, H. Zhai, C. Gong, B. Song, S. Tong, Z. Cao, X. Xu, "Research on image processing and intelligent recognition of space debris," in Proc. SPIE Defense and Commercial Sensing, pp. 1098817, 2019, (EI).
•Z. Cao and N. A. Schmid, “Matching Heterogeneous Periocular Regions: Short and Long Standoff Distances,” in Proc. of the IEEE International Conference on Image Processing (ICIP), pp. 4967–4971, 2014 (EI).
•Z. Cao and N. A. Schmid, “Heterogeneous Sharpness for Cross-Spectral Face Recognition,” in Proc. SPIE 10202, Automatic Target Recognition XXVII, pp. 102020Q,2017 (EI, invited).
•Z. Cao, N. A. Schmid and X. Li, “Image disparity in cross-spectral face recognition: Mitigating camera and atmospheric effects”, in Proc., Automatic Target Recognition XXVI, 2016(EI, invited).
•Z. Cao and N. A. Schmid,“Composite Multi-Lobe Descriptor for Cross-Spectral Face Recognition:Matching Active IR to Visible Light Images”, inProc. SPIE 9476, Automatic Target Recognition XXV, pp. 94760T,2015(EI, invited).
•M. Alkhweldi, Z. Cao and N. A. Schmid, “Distributed Estimation of Parametric Field in Presence of Uncertainty in Sensors Locations,” in Proc. SPIE 9476, Automatic Target Recognition XXV, pp. 94760R,2015(EI).
Talks
•Zhicheng Cao; Natalia Schmid; Thirimachos Bourlai; Xin Li; Stephanie Schuckers ; Partial Face Matching Across the Infrared Band, 2015 CITeR Annual Conference, Morgantown, 2015-05-12
Books
•Z. Cao, N. A. Schmid and T. Bourlai,“Local Operators and Measures for Heterogeneous Face Recognition”, Face Recognition across the Electromagnetic Spectrum, Springer, 2016 (ISBN 978-3-319-28499-6).
•曹志诚，庞辽军等，《现代生物特征识别技术》，西安电子科技大学出版社, 2023 (ISBN 978-7-5606-7083-6)。
发明专利
• 曹志诚；李文龙,庞辽军,赵恒；一种无人机载火灾自动检测方法和装置，CN202311585491.6
• 曹志诚，钟宇超,庞辽军,赵恒；一种超光谱人脸融合与识别方法、电子设备及存储介质，CN202311595547.6
• 曹志诚，郑少男，庞辽军，李文龙，赵恒；一种中文牙科智能诊疗问答方法、电子设备及存储介质，CN202311591347.3
• 曹志诚, 庞辽军, 李文龙, 赵恒; 一种芯片外观缺陷自动检测方法、电子设备及存储介质, CN202310960861.3
• 牛丽娜, 曹志诚, 王宇泽, 余昊翰, 蒙萌, 王楠；一种牙齿变化检测方法、系统、电子设备及存储介质，CN2023102654396
• 曹志诚, 庞辽军,程鑫,王宇泽,赵恒; 一种基于信息融合的牙病识别方法、计算机设备及存储介质, CN202311099810.2
• 曹志诚, 王佳良, 庞辽军, 王宇泽，赵恒; 一种递进式三维牙齿自动分割方法、设备及存储介质, CN202310077872.7
• 曹志诚, 庞辽军, 王佳良, 赵恒; 一种三维牙齿配准方法、系统、计算机设备及存储介质, CN202210176751.3
• 吕锐婵，孙松，曹志诚，杜军辉，田捷；基于深度学习的眼底病变渗出分割方法及装置，CN202210164617.1
• 曹志诚; 张开拓; 赵恒; 庞辽军，一种人脸年龄估计方法、系统、电子设备及存储介质，CN202111538375.X
• 曹志诚; 李江龙；庞辽军；赵恒，一种安全高效移动端人脸识别方法、电子设备及存储介质，CN202111538387.2
• 曹志诚; 张嘉轩；庞辽军；赵恒，一种基于图像转换的跨光谱人脸识别方法及监控设备，CN202111535305.9
• 庞辽军; 曹志诚; 胡嘉钰; 赵恒；一种跨光谱人脸识别方法、装置、电子设备及其存储介质，CN202010162753.8
• 赵恒; 曹志诚; 秦国立; 庞辽军；基于多光谱融合的性别识别方法、系统、存储介质及终端，CN202010328440.5
• 曹志诚; 庞辽军; 车东旭; 赵恒，一种基于红外线的人脸识别反欺骗方法、系统及终端，CN202010328435.4
• 曹志诚; 庞辽军; 陈五星; 赵恒，一种红外线人脸检测方法、装置及其电子设备，CN202010163507.4
• 曹志诚; 庞辽军; 岑熙; 赵恒，一种超光谱人脸识别方法、装置、电子设备及其存储介质，CN202010163505.5
• 曹志诚; 庞辽军; 赵恒; 赵远明，一种基于级联超分辨率的全天候眼周识别方法，CN201910281741.4
• 曹志诚；庞辽军；赵恒；一种指纹识别开锁系统，CN201911122268.1
• 赵恒;李玉兴;庞辽军;曹志诚；一种基于局部敏感哈希的指纹模板保护方法，CN201911122263.9
• 庞辽军;石悦;程川;赵恒;曹志诚；一种基于二叉树混洗的生物特征模板保护方法及装置，CN202011085867.3
• 赵恒;程川;庞辽军;石悦;曹志诚；一种基于深度学习的生物特征模板保护方法及装置，CN202011084812.0
• 赵恒;赵伟强;庞辽军;曹志诚；基于特征融合的可撤销掌纹模板生成方法、装置、设备和存储介质，CN 202011443892.4
• 赵恒;程川;庞辽军;曹志诚；一种基于生物特征的远程身份认证系统，CN202110172238.2
• 赵恒;李玉兴;庞辽军;曹志诚；一种基于OPH的可撤销二值特征的模板保护方法，CN202110182023.9
• 赵恒;程川;庞辽军;曹志诚；一种基于深度学习的交叉库指纹识别方法，CN202210096710.3
软件著作权
• 智慧港口集装箱号自动识别软件(SmartContainer) V1.0，西安电子科技大学，曹志诚，李江龙，庞辽军，赵恒；2021SR1544895
• 信智人脸识别APP(XISFace) V1.0，西安电子科技大学，庞辽军，曹志诚，赵恒；2021SR1544919
• 智能三维牙齿扫描影像自动配准软件APP(Smart DentalRegist) V1.0，西安电子科技大学，曹志诚；2021SR2121148
• 基于神经网络的三维牙齿扫描影像自动分割软件(3D Dental AutoSeg) V1.0，中国人民解放军空军军医大学，牛丽娜，曹志诚；2021SR1128553
• 新型智能牙齿辅助诊疗软件(SmartDental) V1.0，西安电子科技大学，曹志诚；2023R11L1468433